CHALLENGES
Dependence on Data Quality The effectiveness of AI tools depends on the quality and accuracy of the data they’re given. Poor data quality can lead to poor outcomes.
Algorithmic Bias AI algorithms can become biased from the data they are trained on, which may lead to unfair or discriminatory outcomes.
Technical Failures AI tools can experience technical glitches or failures, which could disrupt services and cause delays or safety issues.
Cost and Resources Implementing AI tools may require big investments in technology, training, and maintenance. Schools with limited budgets might struggle to afford these resources.
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